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Hewlett Packard Enterprise
Hewlett Packard Enterprise
Sponsor pentru viza H1BHardwareInteligență artificialăÎntreprindere
Hewlett Packard Enterprise dezvoltă tehnologii pentru organizații care operează infrastructuri cloud hibride și activități bazate pe inteligență artificială. Portofoliul său include servere HPE ProLiant și soluții de calcul de înaltă performanță HPE Cray, soluții de stocare HPE Alletra, soluții de rețelistică HPE Aruba, platforme de inteligență artificială și fabrici AI gata de utilizare, precum și soluții GreenLake oferite ca serviciu. HPE oferă, de asemenea, capabilități de securitate precum Zero Trust și SASE, alături de servicii profesionale, de consultanță și de asistență care ajută organizațiile mari să își modernizeze infrastructura, să gestioneze mediile centrelor de date și să implementeze inteligența artificială la scară largă.
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Locurile de muncă ale companiei

HPC and AI Performance Engineer

Lead benchmarking and optimization across CPUs, GPUs, networks, memory, storage, and AI systems. Translate workload and architecture analysis into reliable performance recommendations for customers and engineering teams.

USStatele Unite ale AmericiiMNMinnesotaTXTexas
105.500 $ – 243.000 $ / an
HibridNormă întreagăNivel mediuSeniorLimbă Obligatorie: englezăInteligență artificială
C++LinuxPython

Descriere

  • Lead benchmarking initiatives across CPU, GPU, network, memory, and storage platforms
  • Assess HPE and competing HPC and AI architectures with performance models and benchmark data
  • Run and interpret scientific, engineering, LLM, AI training and inference, storage, and I/O workloads
  • Diagnose performance constraints and optimize applications, AI frameworks, libraries, compilers, runtimes, and system software
  • Use parallel computing, GPU acceleration, profiling, and memory and I/O optimization techniques
  • Produce reliable, repeatable performance results for HPE HPC and AI solutions
  • Communicate technical findings to engineers, customers, and business stakeholders

Cerințe

  • At least six years of experience working with HPC and AI workloads
  • Experience with scientific and engineering applications, MLPerf, large language models, AI training and inference, storage benchmarks, and performance-profiling tools
  • Knowledge of HPC and AI architectures spanning CPUs, GPUs, accelerators, memory, networking, storage, and software stacks
  • Understanding of MPI, OpenMP, OpenSHMEM, algorithms, and parallel or distributed programming methods
  • Ability to lead complex HPC and AI performance initiatives and turn results into customer-oriented recommendations
  • Experience analyzing and tuning computational applications and benchmarks on Linux systems
  • Experience with C, C++, Fortran, Python, Linux scripting, compilers, MPI, MPI-IO, OpenMP, AI frameworks, and libraries
  • Experience with NVIDIA GPUs and AMD Instinct MI-series accelerators
  • Experience with CUDA, HIP, OpenMP target offload, OpenACC, or similar programming models
  • Experience using Linux-based profiling, tracing, and debugging tools
  • Ability to interpret benchmark data, locate performance bottlenecks, and recommend improvements
  • Strong analytical and problem-solving abilities
  • Strong written and verbal communication skills
  • Professional English proficiency
  • Master’s degree in computer science, engineering, mathematics, physics, chemistry, environmental science, or a related technical discipline
  • PhD preferred

Beneficii

  • Benefits covering physical, financial, and emotional wellbeing
  • Programs supporting personal and professional growth
  • Flexible work options for balancing professional and personal responsibilities
  • Commitment to an inclusive workplace
  • Benefits details available for employees in the United States

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